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mh iyer's Projects

car-model-classification icon car-model-classification

Car Model classification using Stanford Cars Dataset for Grab AI For Sea challenge on computer vision (https://www.aiforsea.com/computer-vision)

cutout icon cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

keras-yolo2 icon keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

linear_regression_python icon linear_regression_python

Linear Regression Programming Exercise - from Andrew Ng's 'Machine Learning' Coursera course - written in Python

logistic_regression icon logistic_regression

Logistic Regression using Python3 - specifically using scipy's optimization modules to obtain the parameters.

mish icon mish

Mish Deep Learning Activation Function for PyTorch / FastAI

simple_encoder_keras icon simple_encoder_keras

A simple encoder neural network- created using Keras- to convert an 8 bit representation to 3 bit.

stanford-cars icon stanford-cars

Learning computer vision by striving to maximise accuracy on the Stanford Cars dataset

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